Automated Processing of Remote Sensing Imagery Using Deep Semantic Segmentation: A Building Footprint Extraction Case
The proliferation of high-resolution remote sensing sensors and platforms imposes the need for effective analyses and automated processing of high volumes of aerial imagery. The recent advance of artificial intelligence (AI) in the form of deep learning (DL) and convolutional neural networks (CNN) s...
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| Formaat: | Artigo |
| Taal: | Inglês |
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MDPI AG
2020-08-01
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| Reeks: | ISPRS International Journal of Geo-Information |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2220-9964/9/8/486 |
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